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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
bin		bin
etc		etc
libexample		libexample
mex		mex
mumps		mumps
AUTHORS		AUTHORS
COPYING		COPYING
ChangeLog		ChangeLog
INSTALL		INSTALL
Makefile.am		Makefile.am
Makefile.in		Makefile.in
NEWS		NEWS
README		README
aclocal.m4		aclocal.m4
config.guess		config.guess
config.sub		config.sub
configure		configure
configure.in		configure.in
depcomp		depcomp
example1.dat		example1.dat
example1.dat-s		example1.dat-s
example1.ini		example1.ini
example1.ini-s		example1.ini-s
example2.dat		example2.dat
install-sh		install-sh
missing		missing
param.sdpa		param.sdpa
sdpa.1		sdpa.1
sdpa_algebra.h		sdpa_algebra.h
sdpa_block.cpp		sdpa_block.cpp
sdpa_block.h		sdpa_block.h
sdpa_call.cpp		sdpa_call.cpp
sdpa_call.h		sdpa_call.h
sdpa_chordal.cpp		sdpa_chordal.cpp
sdpa_chordal.h		sdpa_chordal.h
sdpa_dataset.cpp		sdpa_dataset.cpp
sdpa_dataset.h		sdpa_dataset.h
sdpa_dpotrf.cpp		sdpa_dpotrf.cpp
sdpa_dpotrf.h		sdpa_dpotrf.h
sdpa_exe.cpp		sdpa_exe.cpp
sdpa_include.h		sdpa_include.h
sdpa_io.cpp		sdpa_io.cpp
sdpa_io.h		sdpa_io.h
sdpa_jordan.cpp		sdpa_jordan.cpp
sdpa_jordan.h		sdpa_jordan.h
sdpa_linear.cpp		sdpa_linear.cpp
sdpa_linear.h		sdpa_linear.h
sdpa_newton.cpp		sdpa_newton.cpp
sdpa_newton.h		sdpa_newton.h
sdpa_parts.cpp		sdpa_parts.cpp
sdpa_parts.h		sdpa_parts.h
sdpa_right.h		sdpa_right.h
sdpa_solve.cpp		sdpa_solve.cpp
sdpa_struct.cpp		sdpa_struct.cpp
sdpa_struct.h		sdpa_struct.h
sdpa_tool.cpp		sdpa_tool.cpp
sdpa_tool.h		sdpa_tool.h

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SDPA (SemiDefinite Programming Algorithm)
High-performance software package for SemiDefinite Programs

Copyright (C) 1995-2012 SDPA Project

"SDPA (SemiDefinite Programming Algorithm)" is one of the most
efficient and stable software packages for solving SDPs based on the
primal-dual interior-point method.
SDP (SemiDefinite Programs) is used for
financial engineering, machine learning, control theory,
sensor network problem, quantum chemistry, quantum information,
combinatorial optimizaiton, polynomial optimization, and so on.

If you have questions on the installation,
please contact us from
http://sdpa.sourceforge.net/contact.html

More information can be found at
[1] http://sdpa.sourceforge.net/contact.html
    About SDP (SemiDefinite Programs)
          and User Manual
    About SDPA and SDPA family

[2] File 'INSTALL'
    To install SDPA by the three steps
    ./configure && make && make install


The following is same as a part of debian/README in debian package.

===============================================================
"SDPA (SemiDefinite Programming Algorithm)" is one of the most
efficient and stable software packages for solving SDPs based on the
primal-dual interior-point method.
SDP (SemiDefinite Programs) is used for
financial engineering, machine learning, control theory,
sensor network problem, quantum chemistry, quantum information,
combinatorial optimizaiton, polynomial optimization, and so on.

The user-manual of SDPA is available at
https://sourceforge.net/projects/sdpa/files/sdpa/sdpa.7.1.1.manual.20080618.pdf/download

Note for numerical evaluations:
SDPA debian package is usually linked with openblas-base package.
This openblas-base package might not be optimized for your processor.
To report computation time of SDPA in some article, you should 
install optimized BLAS and compile SDPA from its source code.

SDPA-M:
 The user-manual of SDPA-M is available at 
  https://sourceforge.net/projects/sdpa/files/sdpa-m/sdpamManual.pdf/download
 To compile the mex files with Matlab,
 $ cp -r /usr/share/sdpa/mex .
 $ cd mex
 $ make MAKE_INCLUDE_DIR=/usr/share/sdpa/
 To compile the mex files with Octave,
 $ cp -r /usr/share/sdpa/mex .
 $ cd mex
 $ make MAKE_INCLUDE_DIR=/usr/share/sdpa/ COMPILE_ENVIRONMENT=octave